Towards the Future of Geomatics Science Its Global Impacts

Transcription

1 Panel Discussion Towards the Future of Geomatics Science Its Global Impacts Wuhan University Prof. Li Deren 19 th -20 th Nov. 2018, Deqing, China Definition of Geomatics (ISO,1996) Geomatics is a field of activity which,using a systematic approach, integrates all the means used to acquire and manage spatial data required as part of scientific,administrative,legal and technical operations involved in the process of production and management of spatial information. These activities include, but are not limited to,cartography,control surveying,digital mapping, geodesy, geographic information systems, hydrography, land information management,land surveying,mining surveying, photogrammetry and remote sensing. Geomatics is the modern scientific term referring to the integrated approach of measurement,analysis,management and display of spatial data. 1

2 New definition of Geomatics in big data era Geomatics in big data era is a multiple discipline science and technology which,using a systematic approach, integrates all the means for spatiotemporal data acquisition, information extraction, networked management, knowledge discovering, spatial sensing and cognition, as well as intelligent location based services of any physical objects and human activities around the earth and its environment. The future of Geomatics 1. Full automation; 2. Real time services; 3. From earth observation to human observation. 2

3 Unmanned aerial vehicle TianHuo (Independent Research and Development) TianHuo TianHuo + Pisces tilt camera Flight time : 45 min Operation range : 0.6~0.8 km 2 Ground pixel resolution : 1-3cm Maximum altitude : 4000 m Remote control distance :10km Flight master (control UAV): Specially designed for surveying and mapping Simplify hand flying operation, intelligent Three Dimensional Automatic Modeling of Administration Building of Wuhan University 3

4 Automatic 3D construction of Maya Ruins using non-metric Camera Maya Statue Modeling using get3d.cn 4

5 Modeling using Mobile Phone (Huawei) Collected using Huawei Mobile Phone, 11 images to create model 5

6 Three Dimensional Automatic Modeling from Outdoor to Indoor Automatic image search: automatic search for target from remote sensing images How to search arbitrary target automatically from big image database (such as Google Maps and Sky maps), achieve : Fast Accurate Directly on the Internet without the need to enter addresses Big Data Deep Cloud Learning Computing Semantic Understanding 6

7 Image Retrieval on Large-Scale Tiled RS Image Database A deep learning based high performance online search engine 10 million tiled remote sensing images Deep learning based content extraction and semantic modeling Second response time Search by keywords, semantic and example Object Level Land Cover Level Scene Level Ship Airplane Playground. Farmland Fishpond Villa area. Wharf Overpass Parking lots. Image Retrieval on Large-Scale Tiled RS Image Database 7

8 Automatic Change Detection for UAV Data Trannsmiting data Matching to Produce DOQ 1sec/frame Visualization UAV taking off 15sec for Change Detection Emergensing Use Automatic Block Adjustment without GCP for super large area with ZY-3 Data --- Automatic block adjustment of ZY-3 data ( 8810x3 scenes, 40TB ); million connection points are automatically selected from the 2 billion matched points by using the gross error detection method ; --- Automatic generation Of DOQ(2x2m) and DSM(5x5), which can meet the requirements of 1:50,000 topographic mapping. Result after System Error Compensation and Gross Error Elimination (5 Meters) Data Volume: 40TB 60 Computation Nodes GPU+CPU Completed in 10 days 8

9 DOM/DSM Automatic Production of the Whole China 2mDOM 5mDSM 17 ZY-3 Images are used for Global Automatic Mapping Major Projects : Central Asia, Thailand, Burma and Germany Germany %!"#&' Central Asia 144 Images22.1km 2 Plane 4.6m Elevation4.8m China Burma %!"#% Thailland!"#$ 9

10 Concept Map of EOB Concept of EOB The human brain obtains information of the surrounding environment by visual, auditory and other functions. Then the information is transmitted to the left and right hemispheres using the neurons. The left and right hemispheres analyze the surrounding environment information, thus guiding people's behavior. EOB can achieve on-board sensing, cognition and transmitting the right data, information and knowledge to theenduserinrealtime. 10

11 Intelligent Detection and Location Architecture for Time - sensitive Target Real time RS to your Smartphone 22 OP QRSTU VTRWXYYZP[ ZP \XS] ^Z_X ` abcde efgfhgicjk lmnfhg efgfhgicjk aopjqf efgfhgicjk rfcstcuigicjijq k epgp hcvtwfuuicj pje gwpjuviuuicj,-./ Case :;<= 468> Case ()*+?@ABCD@ ECF@G HI@J K@DLMNK 11

12 Real time GIS(GeoSmarter) Data stream input Real time GIS Platform 空间数据 Realtime data 分析 analysis 静态数据 Dynamic 管理 management 空间信息服务 Geo-services Sensing Analysis/cognition action Smart city operation Brain 12

13 From Earth Observation to Human Observation Human Environment Relationship EO Technology of Remote Sensing Spatiotemporal Variations of Environmental Changes Qualitative, Quantitative, etc. Category, Intensity, Mixture, etc. Spatiotemporal Variations of Human Activities (HO) Human Observation Evaluating the Syrian Civil War using the night-time light RS We use the DMSP/OLS monthly product to show the night-time light in Syria. From these images, most of previously lighted areas have fallen to darkness Night-time light in March, 2011 Night-time light in February,

14 Evaluating the Syrian Civil War By using clustering analysis on normalized multi-temporal night-time light images, the spatiotemporal pattern of the night-time light is revealed The two-class map shows two different night-time light variation patterns with the international border as the pattern border; The three-class map shows a similar pattern Evaluating the Syrian Civil War Al Jazeera report on our research xyz{ }~ ƒ ˆ 14

15 Geo-computation with GNSS Tracking Data Mobile phone Video Taxi Indoor Location Bus and subway card data City s Travel Track Big Data New Media Check in Data Smart Emergency Brain of Wuhan Traffic Management 15

16 Smart Emergency Brain of Wuhan Traffic Management In 2017, in the national ranking of traffic congestion, the system improved Wuhan from 23to 53. In Oct. 2017, using 7 quick model, the system minimized traffic congestion accident handling time from 7 minutesto 90 seconds. On 11 th Dec. 2017, KeqiangLi, the Prime Minister of P. R. China, spoke highly of the system after watching its operation. Conclusion 1. The ubiquitous space-air-ground sensors will produce unprecedented big spatio-temporal data; 2. Facing the situation of mass data, less information, lack of knowledge, the integration of big geospatial data, cloud computing and AI techniques should be very important; 3. The integration of earth observation and human observation is helpful to answer the human-nature relation. 16

17 Thank You! Satellite LJ-1 Series PNTRC Wuhan University launches the Satellite LJ-01 to verify PNTRC thought Satellite LJ-1A The first professional night light remote sensing satellite in China has a pioneering significance for the development of China's luminous remote sensing satellite and the application of remote sensing in the social and economic fields. The LEOS-based navigation enhancement, the first test in the world. The test results are of great significance to the follow-up construction of the Beidou System in China. It is possible to lay aside the need for building global stations in foundation reinforcement. Satellite LJ-1B Multi-angle radar remote sensing, the first test in the world. The test results are of great significance to the development of radar satellite and radar mapping in China. Video radar remote sensing, the first test in the world. The test results are of great significance to the application and innovation of moving target detection and tracking. Satellite LJ-1C sensor to shooter, the first test in China. The test results are of great significance to the consumption level application. LJ-1C will send the real time 0.5 resolution video image directly to the end user s Smartphone. 17

18 Main technical parameters of Satellite LJ-1A Track Type sun synchronous orbit Orbit Height 645 km Ground Pixel Resolution point) Imaging Spectrum 480nm~800nm Ground Bandwidth Imaging Mode night light mode + day light mode Maneuverability elevation axis > 0.9 /s Three Axis Attitude Stability batter than 0.1 s Attitude Determination Accuracy batter than 0.05 Total Satellite Mass 22kg On Orbit Envelope Size 520mmŠ870mmŠ390mm Measurement and Control UHFmeasurement and control system Œdistinct transmission mode Data Transmission Design Life X bandœ50mbps 6 months Satellite LJ-1A Diagram Ž š 18

19 Development of Satellite LJ-1A Launching of Satellite LJ-1A with CZ-2 Rocket (June 2, 2018) Night time light Image of LJ-1A 1 œ žÿ ª« ±² 19

20 Night time light Image of S-NPP/VIIRS 1 œ žÿ S-NPP/VIIRS ª«œ³ ² Night time Light Image of Wuhan (LJ-1A) 1 µ ª«20

21 Night time Light Image of Wuhan(S-NPP/VIRS) 1 µ S-NPP/VIIRS ª«œ³ ² LEO Navigation enhancement Principle 与可行性论证 ¹ º»º¼½ ¾ ÀÀ Àº½¼ÁÂà On board Processing Signal transmission to ground 21

22 LEO Navigation enhancement Test on LJ-1A 性 Test results: Accuracy of pseudo range 2-3m(1σ), Accuracy of carrier phase 2-3cm(1σ) ËÌÍÎ ÏÐÑÒÓÔ ÕÖ Ø ÄÅ ÆÇ ÈÉ Ê Satellite LJ-1B Wuhan University and Beijing Institute of Spacecraft System Engineering(ISSE) have being jointly developed the satellite LJ-1B, a Chinese scientific experiment SAR satellite, which has some new imaging functions, such as multi-angle imaging and video imaging. Imaging mode Multiangle imaging Azimuth resolution (m) Range resolution (m) Azimuth width (km) Range swath (km) Azimuth scanning angle(ù) Incidence angle (Ù) ~45 15 Video imaging ~15 15 Spotlight imaging Strip imaging 3 3 Depende nce on imaging time Star point imaging

23 Satellite imaging mode Multi-angle imaging PRFÚHzÛ Width( Look Angle Km) ÚdegÛ Beam Incidence Azi. Angle Angle ÚdegÛ ÚdegÛ ÚmÛRes.ÚmÛ Range Width ÚMHzÛPowerÚWÛ Average Data RateÚ8:3Û ÚdBÛ ÚMbpsÛ Multiangle imaging Video imaging PRF ÚHzÛ Width( Look Beam Incidence Azi. Res. Angle Angle Angle Km) ÚdegÛ ÚdegÛ ÚdegÛ ÚmÛ Range Band Average Res. Width Power ÚmÛÚMHzÛ ÚWÛ NEsigma0 ÚdBÛ Data RateÚ8:3Û ÚMbpsÛ Maximum beam position Minimum beam position Star point imaging PRF ÚHzÛ Width (Km) Look Angle ÚdegÛ Beam Angle ÚdegÛ Incidence Angle ÚdegÛ Azi. Res. Range Res. ÚmÛ ÚmÛ Band Width ÚMHzÛ Average Power ÚWÛ NEsigma0 ÚdBÛ Data Rate Ú8:3Û ÚMbpsÛ Star point imaging Satellite imaging mode ÀÜÝÞº½ßÞ ºàÁ½º¼½ Look PRFÚHzÛWidth(Km) Angle ÚdegÛ Beam Angle ÚdegÛ Incidence Angle ÚdegÛ Azi. Res. Range Res. ÚmÛ ÚmÛ Band Width ÚMHzÛ Average Power ÚWÛ NEsigma0 Data Rate ÚdBÛ Ú8:3Û ÚMbpsÛ Spotlight inaging ÀÞáºÜ ºàÁ½º¼½ Minimum beam position PRF ÚHzÛ Width (Km) Look Angle ÚdegÛ Beam Angle ÚdegÛ Incidence Angle ÚdegÛ Azi. Res. Range Res. ÚmÛ ÚmÛ Band Width ÚMHzÛ Average Power ÚWÛ NEsigma0 Data Rate ÚdBÛ Ú8:3Û Úbeam centerû ÚMbpsÛ Central beam position Maximum beam position

24 Schedule of the Satellite LJ-1B February 2017: Launching of the project June 2017: Further argumentation of the project December 2017~June 2019:Development and Production September 2019(in plan):satellite Launching 24